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Spatial regularization based on dMRI to solve EEG/MEG inverse problem

Abstract : In this paper, we present a new approach to reconstruct dipole magnitudes of a distributed source model for magnetoencephalographic (MEG) and electroencephalographic (EEG). This approach is based on the structural homogeneity of the cortical regions which are obtained using diffusion MRI (dMRI). First, we parcellate the cortical surface into functional regions using structural information. Then, we use a weighting matrix that relates the dipoles' magnitudes of sources inside these functional regions. The weights are based on the region's structural homogeneity. Results of the simulated and real MEG measurement are presented and compared to classical source reconstruction methods.
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Submitted on : Tuesday, June 6, 2017 - 2:04:21 PM
Last modification on : Saturday, June 25, 2022 - 11:26:43 PM
Long-term archiving on: : Thursday, September 7, 2017 - 12:51:43 PM


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  • HAL Id : hal-01533396, version 1



Brahim Belaoucha, Théodore Papadopoulo. Spatial regularization based on dMRI to solve EEG/MEG inverse problem. EMBC 2017 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society , Jul 2017, Jeju, South Korea. ⟨hal-01533396⟩



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